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Online Add Music

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install online-add-music
功能描述
add video files into music-backed videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for adding background mus...
使用说明 (SKILL.md)

Getting Started

Got video files to work with? Send it over and tell me what you need — I'll take care of the music track addition.

Try saying:

  • "add a 2-minute travel video clip into a 1080p MP4"
  • "add background music to my video and adjust the volume to 30%"
  • "adding background music to videos online for content creators"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Online Add Music — Add Music to Videos Online

Send me your video files and describe the result you want. The music track addition runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute travel video clip, type "add background music to my video and adjust the volume to 30%", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.

Worth noting: trim your audio track to match the video length before uploading for a cleaner result.

Matching Input to Actions

User prompts referencing online add music, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is online-add-music, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "add background music to my video and adjust the volume to 30%" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "add background music to my video and adjust the volume to 30%" → Download MP4. Takes 20-40 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
Before installing, confirm you are comfortable sending your video/audio files to nemovideo.ai, keep the NEMO_TOKEN private, and supervise exports or credit-consuming render jobs. The artifacts do not show malicious behavior, but the service provenance is limited.
功能分析
Type: OpenClaw Skill Name: online-add-music Version: 1.0.0 The skill is a functional wrapper for a cloud-based video editing service (nemovideo.ai). It manages authentication via an anonymous token exchange, handles file uploads, and processes video rendering through a series of standard API calls to mega-api-prod.nemovideo.ai. The instructions in SKILL.md are well-defined, focusing on session management, error handling, and translating backend responses for the user. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection; all network and file activities are strictly aligned with the stated purpose of adding music to video files.
能力评估
Purpose & Capability
The stated purpose—adding music to videos online—matches the documented upload, edit, render, and export workflow, but it necessarily sends user media to a cloud backend.
Instruction Scope
Instructions are scoped to named NemoVideo API endpoints, but they also tell the agent to translate backend GUI-style responses into API actions, including export steps.
Install Mechanism
There is no install spec and no code files, which limits local execution risk; however, the listed source is unknown and no homepage is provided for provenance.
Credentials
Use of NEMO_TOKEN is disclosed and proportionate for the external rendering service, but the token authorizes API calls and credits on that service.
Persistence & Privilege
No local autostart, privileged file writes, or background persistence are shown; the artifacts describe only operational session state for cloud rendering.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install online-add-music
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /online-add-music 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the Online Add Music skill. - Add music tracks to videos online, supporting MP4, MOV, AVI, and WebM up to 500MB. - Automatic cloud setup with free trial (100 credits, 7-day expiry). - Fast cloud GPU processing: typical render time 20–40 seconds, returns 1080p MP4 files. - Flexible workflow: upload, edit with text prompts, preview, and export. - Includes audio volume adjustment, text overlays, and support for batching and iterative edits. - Built-in error handling for file size, types, credits, and rate limits.
元数据
Slug online-add-music
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Online Add Music 是什么?

add video files into music-backed videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for adding background mus... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30 次。

如何安装 Online Add Music?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install online-add-music」即可一键安装,无需额外配置。

Online Add Music 是免费的吗?

是的,Online Add Music 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Online Add Music 支持哪些平台?

Online Add Music 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Online Add Music?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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